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Code Issues Packages Projects Releases Wiki Activity

.NET: Add DevUI package for .NET (#1603)

Browse Source 
* Implement DevUI

* Review feedback

* Fix build
This commit is contained in:
Reuben Bond
2025-11-05 12:02:48 -08:00
committed by GitHub
Unverified
parent 94a5ba3448
commit 8855bfb065
36 changed files with 2733 additions and 1176 deletions
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python/packages/devui/frontend/index.html
+2 -2
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@@ -2,12 +2,12 @@
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/agentframework.svg" />
<link rel="icon" type="image/svg+xml" href="agentframework.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Agent Framework Dev UI</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
<script type="module" src="src/main.tsx"></script>
</body>
</html>
python/packages/devui/frontend/public/vite.svg
-1
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@@ -1 +0,0 @@
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--logos" width="31.88" height="32" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 257"><defs><linearGradient id="IconifyId1813088fe1fbc01fb466" x1="-.828%" x2="57.636%" y1="7.652%" y2="78.411%"><stop offset="0%" stop-color="#41D1FF"></stop><stop offset="100%" stop-color="#BD34FE"></stop></linearGradient><linearGradient id="IconifyId1813088fe1fbc01fb467" x1="43.376%" x2="50.316%" y1="2.242%" y2="89.03%"><stop offset="0%" stop-color="#FFEA83"></stop><stop offset="8.333%" stop-color="#FFDD35"></stop><stop offset="100%" stop-color="#FFA800"></stop></linearGradient></defs><path fill="url(#IconifyId1813088fe1fbc01fb466)" d="M255.153 37.938L134.897 252.976c-2.483 4.44-8.862 4.466-11.382.048L.875 37.958c-2.746-4.814 1.371-10.646 6.827-9.67l120.385 21.517a6.537 6.537 0 0 0 2.322-.004l117.867-21.483c5.438-.991 9.574 4.796 6.877 9.62Z"></path><path fill="url(#IconifyId1813088fe1fbc01fb467)" d="M185.432.063L96.44 17.501a3.268 3.268 0 0 0-2.634 3.014l-5.474 92.456a3.268 3.268 0 0 0 3.997 3.378l24.777-5.718c2.318-.535 4.413 1.507 3.936 3.838l-7.361 36.047c-.495 2.426 1.782 4.5 4.151 3.78l15.304-4.649c2.372-.72 4.652 1.36 4.15 3.788l-11.698 56.621c-.732 3.542 3.979 5.473 5.943 2.437l1.313-2.028l72.516-144.72c1.215-2.423-.88-5.186-3.54-4.672l-25.505 4.922c-2.396.462-4.435-1.77-3.759-4.114l16.646-57.705c.677-2.35-1.37-4.583-3.769-4.113Z"></path></svg>
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python/packages/devui/frontend/src/components/features/agent/agent-view.tsx
+333 -43
View File
@@ -45,6 +45,7 @@ import type {
ExtendedResponseStreamEvent,
} from "@/types";
import { useDevUIStore } from "@/stores";
import { loadStreamingState } from "@/services/streaming-state";
type DebugEventHandler = (event: ExtendedResponseStreamEvent | "clear") => void;
@@ -229,7 +230,6 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
const scrollAreaRef = useRef<HTMLDivElement>(null);
const messagesEndRef = useRef<HTMLDivElement>(null);
const accumulatedText = useRef<string>("");
const textareaRef = useRef<HTMLTextAreaElement>(null);
const currentMessageUsage = useRef<{
total_tokens: number;
@@ -237,6 +237,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
output_tokens: number;
} | null>(null);
const userJustSentMessage = useRef<boolean>(false);
const accumulatedTextRef = useRef<string>("");
// Auto-scroll to bottom when new items arrive
useEffect(() => {
@@ -281,33 +282,270 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
// Load conversations when agent changes
useEffect(() => {
// Resume streaming after page refresh
const resumeStreaming = async (
assistantMessage: import("@/types/openai").ConversationMessage,
conversation: Conversation,
agent: AgentInfo
) => {
// Load the stored state to get the response ID
const storedState = loadStreamingState(conversation.id);
if (!storedState || !storedState.responseId) {
setIsStreaming(false);
return;
}
try {
// Use the stored responseId to resume the stream via GET /v1/responses/{responseId}
const openAIRequest: import("@/types/agent-framework").AgentFrameworkRequest = {
model: agent.id,
input: [], // Not needed for resume (using GET)
stream: true,
conversation: conversation.id,
};
// Pass the response ID explicitly to trigger GET request
const streamGenerator = apiClient.streamAgentExecutionOpenAIDirect(
agent.id,
openAIRequest,
conversation.id,
storedState.responseId // Pass response ID for resume
);
for await (const openAIEvent of streamGenerator) {
// Pass all events to debug panel
onDebugEvent(openAIEvent);
// Handle response.completed event
if (openAIEvent.type === "response.completed") {
const completedEvent = openAIEvent as import("@/types/openai").ResponseCompletedEvent;
const usage = completedEvent.response?.usage;
if (usage) {
currentMessageUsage.current = {
input_tokens: usage.input_tokens,
output_tokens: usage.output_tokens,
total_tokens: usage.total_tokens,
};
}
continue;
}
// Handle response.failed event
if (openAIEvent.type === "response.failed") {
const failedEvent = openAIEvent as import("@/types/openai").ResponseFailedEvent;
const error = failedEvent.response?.error;
const errorMessage = error
? typeof error === "object" && "message" in error
? (error as any).message
: JSON.stringify(error)
: "Request failed";
const currentItems = useDevUIStore.getState().chatItems;
setChatItems(currentItems.map((item) =>
item.id === assistantMessage.id && item.type === "message"
? {
...item,
content: [
{
type: "text",
text: accumulatedTextRef.current || errorMessage,
} as import("@/types/openai").MessageTextContent,
],
status: "incomplete" as const,
}
: item
));
setIsStreaming(false);
return;
}
// Handle function approval request events
if (openAIEvent.type === "response.function_approval.requested") {
const approvalEvent = openAIEvent as import("@/types/openai").ResponseFunctionApprovalRequestedEvent;
setPendingApprovals([
...useDevUIStore.getState().pendingApprovals,
{
request_id: approvalEvent.request_id,
function_call: approvalEvent.function_call,
},
]);
continue;
}
// Handle function approval response events
if (openAIEvent.type === "response.function_approval.responded") {
const responseEvent = openAIEvent as import("@/types/openai").ResponseFunctionApprovalRespondedEvent;
setPendingApprovals(
useDevUIStore.getState().pendingApprovals.filter((a) => a.request_id !== responseEvent.request_id)
);
continue;
}
// Handle error events
if (openAIEvent.type === "error") {
const errorEvent = openAIEvent as ExtendedResponseStreamEvent & { message?: string };
const errorMessage = errorEvent.message || "An error occurred";
const currentItems = useDevUIStore.getState().chatItems;
setChatItems(currentItems.map((item) =>
item.id === assistantMessage.id && item.type === "message"
? {
...item,
content: [
{
type: "text",
text: accumulatedTextRef.current || errorMessage,
} as import("@/types/openai").MessageTextContent,
],
status: "incomplete" as const,
}
: item
));
setIsStreaming(false);
return;
}
// Handle text delta events
if (
openAIEvent.type === "response.output_text.delta" &&
"delta" in openAIEvent &&
openAIEvent.delta
) {
accumulatedTextRef.current += openAIEvent.delta;
const currentItems = useDevUIStore.getState().chatItems;
setChatItems(currentItems.map((item) =>
item.id === assistantMessage.id && item.type === "message"
? {
...item,
content: [
{
type: "text",
text: accumulatedTextRef.current,
} as import("@/types/openai").MessageTextContent,
],
status: "in_progress" as const,
}
: item
));
}
}
// Stream ended - mark as complete
const finalUsage = currentMessageUsage.current;
const currentItems = useDevUIStore.getState().chatItems;
setChatItems(currentItems.map((item) =>
item.id === assistantMessage.id && item.type === "message"
? {
...item,
status: "completed" as const,
usage: finalUsage || undefined,
}
: item
));
setIsStreaming(false);
if (finalUsage) {
updateConversationUsage(finalUsage.total_tokens);
}
currentMessageUsage.current = null;
} catch (error) {
const currentItems = useDevUIStore.getState().chatItems;
setChatItems(currentItems.map((item) =>
item.id === assistantMessage.id && item.type === "message"
? {
...item,
content: [
{
type: "text",
text: `Error resuming stream: ${
error instanceof Error ? error.message : "Unknown error"
}`,
} as import("@/types/openai").MessageTextContent,
],
status: "incomplete" as const,
}
: item
));
setIsStreaming(false);
}
};
const loadConversations = async () => {
if (!selectedAgent) return;
setLoadingConversations(true);
try {
// Step 1: Try to list conversations from backend (DevUI extension)
// This works with DevUI backend but fails with OpenAI/Azure (they don't have list endpoint)
// Step 1: Always try to list conversations from backend first
// This ensures we get the latest data from the server
try {
const { data: conversations } = await apiClient.listConversations(
selectedAgent.id
);
// Backend successfully returned conversations list
setAvailableConversations(conversations);
if (conversations.length > 0) {
// Found conversations on backend - use most recent
const mostRecent = conversations[0];
setAvailableConversations(conversations);
setCurrentConversation(mostRecent);
// Load conversation items from backend
try {
const { data: items } = await apiClient.listConversationItems(
mostRecent.id
);
// Load all conversation items with pagination
let allItems: unknown[] = [];
let hasMore = true;
let after: string | undefined = undefined;
while (hasMore) {
const result = await apiClient.listConversationItems(
mostRecent.id,
{ order: "asc", after } // Load in chronological order (oldest first)
);
allItems = allItems.concat(result.data);
hasMore = result.has_more;
// Get the last item's ID for pagination
if (hasMore && result.data.length > 0) {
const lastItem = result.data[result.data.length - 1] as { id?: string };
after = lastItem.id;
}
}
// Use OpenAI ConversationItems directly (no conversion!)
setChatItems(items as import("@/types/openai").ConversationItem[]);
setChatItems(allItems as import("@/types/openai").ConversationItem[]);
setIsStreaming(false);
// Check for incomplete stream and resume if needed
const state = loadStreamingState(mostRecent.id);
if (state && !state.completed) {
accumulatedTextRef.current = state.accumulatedText || "";
// Add assistant message with resumed text
const assistantMsg: import("@/types/openai").ConversationMessage = {
id: state.lastMessageId || `assistant-${Date.now()}`,
type: "message",
role: "assistant",
content: state.accumulatedText ? [{ type: "text", text: state.accumulatedText }] : [],
status: "in_progress",
};
setChatItems([...allItems as import("@/types/openai").ConversationItem[], assistantMsg]);
setIsStreaming(true);
// Resume streaming from where we left off
setTimeout(() => {
resumeStreaming(assistantMsg, mostRecent, selectedAgent);
}, 100);
}
// Scroll to bottom after loading conversation
setTimeout(() => {
messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
}, 100);
} catch {
// 404 means conversation exists but has no items yet (newly created)
// This is normal - just start with empty chat
@@ -316,11 +554,6 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
setIsStreaming(false);
}
// Cache to localStorage for faster future loads
localStorage.setItem(
`devui_convs_${selectedAgent.id}`,
JSON.stringify(conversations)
);
return;
}
} catch {
@@ -371,9 +604,6 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
setAvailableConversations([newConversation]);
setChatItems([]);
setIsStreaming(false);
// Save to localStorage
localStorage.setItem(cachedKey, JSON.stringify([newConversation]));
} catch {
setAvailableConversations([]);
setChatItems([]);
@@ -387,10 +617,12 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
setChatItems([]);
setIsStreaming(false);
setCurrentConversation(undefined);
accumulatedText.current = "";
accumulatedTextRef.current = "";
loadConversations();
}, [selectedAgent, setLoadingConversations, setAvailableConversations, setCurrentConversation, setChatItems, setIsStreaming]);
// currentConversation is intentionally excluded - this effect should only run when agent changes
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [selectedAgent, onDebugEvent, setChatItems, setIsStreaming, setLoadingConversations, setAvailableConversations, setCurrentConversation, setPendingApprovals, updateConversationUsage]);
// Handle file uploads
const handleFilesSelected = async (files: File[]) => {
@@ -626,16 +858,11 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
setIsStreaming(false);
// Reset conversation usage by setting it to initial state
useDevUIStore.setState({ conversationUsage: { total_tokens: 0, message_count: 0 } });
accumulatedText.current = "";
// Update localStorage cache with new conversation
const cachedKey = `devui_convs_${selectedAgent.id}`;
const updated = [newConversation, ...availableConversations];
localStorage.setItem(cachedKey, JSON.stringify(updated));
accumulatedTextRef.current = "";
} catch {
// Failed to create conversation
}
}, [selectedAgent, availableConversations, setCurrentConversation, setAvailableConversations, setChatItems, setIsStreaming]);
}, [selectedAgent, setCurrentConversation, setAvailableConversations, setChatItems, setIsStreaming]);
// Handle conversation deletion
const handleDeleteConversation = useCallback(
@@ -660,15 +887,6 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
);
setAvailableConversations(updatedConversations);
// Update localStorage cache
if (selectedAgent) {
const cachedKey = `devui_convs_${selectedAgent.id}`;
localStorage.setItem(
cachedKey,
JSON.stringify(updatedConversations)
);
}
// If deleted conversation was selected, switch to another conversation or clear chat
if (currentConversation?.id === conversationId) {
if (updatedConversations.length > 0) {
@@ -683,7 +901,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
setChatItems([]);
setIsStreaming(false);
useDevUIStore.setState({ conversationUsage: { total_tokens: 0, message_count: 0 } });
accumulatedText.current = "";
accumulatedTextRef.current = "";
}
}
@@ -694,7 +912,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
alert("Failed to delete conversation. Please try again.");
}
},
[availableConversations, currentConversation, selectedAgent, onDebugEvent, setAvailableConversations, setCurrentConversation, setChatItems, setIsStreaming]
[availableConversations, currentConversation, onDebugEvent, setAvailableConversations, setCurrentConversation, setChatItems, setIsStreaming]
);
// Handle conversation selection
@@ -711,11 +929,28 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
onDebugEvent("clear");
try {
// Load conversation history from backend
const result = await apiClient.listConversationItems(conversationId);
// Load conversation history from backend with pagination
let allItems: unknown[] = [];
let hasMore = true;
let after: string | undefined = undefined;
while (hasMore) {
const result = await apiClient.listConversationItems(conversationId, {
order: "asc", // Load in chronological order (oldest first)
after,
});
allItems = allItems.concat(result.data);
hasMore = result.has_more;
// Get the last item's ID for pagination
if (hasMore && result.data.length > 0) {
const lastItem = result.data[result.data.length - 1] as { id?: string };
after = lastItem.id;
}
}
// Use OpenAI ConversationItems directly (no conversion!)
const items = result.data as import("@/types/openai").ConversationItem[];
const items = allItems as import("@/types/openai").ConversationItem[];
setChatItems(items);
setIsStreaming(false);
@@ -727,6 +962,27 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
message_count: items.length,
}
});
// Check for incomplete stream and restore accumulated text
const state = loadStreamingState(conversationId);
if (state?.accumulatedText) {
accumulatedTextRef.current = state.accumulatedText;
// Add assistant message with resumed text - streaming will continue automatically
const assistantMsg: import("@/types/openai").ConversationMessage = {
id: `assistant-${Date.now()}`,
type: "message",
role: "assistant",
content: [{ type: "output_text", text: state.accumulatedText }],
status: "in_progress",
};
setChatItems([...items, assistantMsg]);
setIsStreaming(true);
}
// Scroll to bottom after loading conversation
setTimeout(() => {
messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
}, 100);
} catch {
// 404 means conversation doesn't exist or has no items yet
// This can happen if server restarted (in-memory store cleared)
@@ -736,7 +992,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
useDevUIStore.setState({ conversationUsage: { total_tokens: 0, message_count: 0 } });
}
accumulatedText.current = "";
accumulatedTextRef.current = "";
},
[availableConversations, onDebugEvent, setCurrentConversation, setChatItems, setIsStreaming]
);
@@ -851,13 +1107,18 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
}
}
// Clear any previous streaming state for this conversation before starting new message
if (conversationToUse?.id) {
apiClient.clearStreamingState(conversationToUse.id);
}
const apiRequest = {
input: request.input,
conversation_id: conversationToUse?.id,
};
// Clear text accumulator for new response
accumulatedText.current = "";
accumulatedTextRef.current = "";
// Use OpenAI-compatible API streaming - direct event handling
const streamGenerator = apiClient.streamAgentExecutionOpenAI(
@@ -884,6 +1145,35 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
continue; // Continue processing other events
}
// Handle response.failed event
if (openAIEvent.type === "response.failed") {
const failedEvent = openAIEvent as import("@/types/openai").ResponseFailedEvent;
const error = failedEvent.response?.error;
const errorMessage = error
? typeof error === "object" && "message" in error
? (error as any).message
: JSON.stringify(error)
: "Request failed";
const currentItems = useDevUIStore.getState().chatItems;
setChatItems(currentItems.map((item) =>
item.id === assistantMessage.id && item.type === "message"
? {
...item,
content: [
{
type: "text",
text: accumulatedTextRef.current || errorMessage,
} as import("@/types/openai").MessageTextContent,
],
status: "incomplete" as const,
}
: item
));
setIsStreaming(false);
return;
}
// Handle function approval request events
if (openAIEvent.type === "response.function_approval.requested") {
const approvalEvent = openAIEvent as import("@/types/openai").ResponseFunctionApprovalRequestedEvent;
@@ -943,7 +1233,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
"delta" in openAIEvent &&
openAIEvent.delta
) {
accumulatedText.current += openAIEvent.delta;
accumulatedTextRef.current += openAIEvent.delta;
// Update assistant message with accumulated content
const currentItems = useDevUIStore.getState().chatItems;
@@ -954,7 +1244,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
content: [
{
type: "text",
text: accumulatedText.current,
text: accumulatedTextRef.current,
} as import("@/types/openai").MessageTextContent,
],
status: "in_progress" as const,
python/packages/devui/frontend/src/components/features/agent/message-renderers/OpenAIContentRenderer.tsx
+3 -1
View File
@@ -23,7 +23,7 @@ interface ContentRendererProps {
// Text content renderer
function TextContentRenderer({ content, className, isStreaming }: ContentRendererProps) {
if (content.type !== "text") return null;
if (content.type !== "text" && content.type !== "input_text" && content.type !== "output_text") return null;
const text = content.text;
@@ -160,6 +160,8 @@ function FileContentRenderer({ content, className }: ContentRendererProps) {
export function OpenAIContentRenderer({ content, className, isStreaming }: ContentRendererProps) {
switch (content.type) {
case "text":
case "input_text":
case "output_text":
return <TextContentRenderer content={content} className={className} isStreaming={isStreaming} />;
case "input_image":
return <ImageContentRenderer content={content} className={className} />;
python/packages/devui/frontend/src/components/features/workflow/workflow-view.tsx
+4
View File
@@ -554,6 +554,10 @@ export function WorkflowView({
try {
const request = { input_data: inputData };
// Clear any previous streaming state before starting new workflow execution
// Note: Workflows don't use conversation IDs, so we use workflow ID as the key
apiClient.clearStreamingState(selectedWorkflow.id);
// Use OpenAI-compatible API streaming - direct event handling
const streamGenerator = apiClient.streamWorkflowExecutionOpenAI(
selectedWorkflow.id,
python/packages/devui/frontend/src/main.tsx
+4
View File
@@ -3,6 +3,10 @@ import { createRoot } from 'react-dom/client'
import './index.css'
import App from './App.tsx'
import { ThemeProvider } from "./components/theme-provider"
import { initStreamingState } from "./services/api"
// Initialize streaming state management (clears expired states)
initStreamingState();
createRoot(document.getElementById('root')!).render(
<StrictMode>
python/packages/devui/frontend/src/services/api.ts
+263 -144
View File
@@ -14,6 +14,12 @@ import type {
} from "@/types";
import type { AgentFrameworkRequest } from "@/types/agent-framework";
import type { ExtendedResponseStreamEvent } from "@/types/openai";
import {
loadStreamingState,
updateStreamingState,
markStreamingCompleted,
clearStreamingState,
} from "./streaming-state";
// Backend API response type - polymorphic entity that can be agent or workflow
// This matches the Python Pydantic EntityInfo model which has all fields optional
@@ -57,9 +63,27 @@ const DEFAULT_API_BASE_URL =
? import.meta.env.VITE_API_BASE_URL
: "http://localhost:8080";
// Retry configuration for streaming
const RETRY_INTERVAL_MS = 1000; // Retry every second
const MAX_RETRY_ATTEMPTS = 600; // Max 600 retries (10 minutes total)
// Get backend URL from localStorage or default
function getBackendUrl(): string {
return localStorage.getItem("devui_backend_url") || DEFAULT_API_BASE_URL;
const stored = localStorage.getItem("devui_backend_url");
if (stored) return stored;
// If VITE_API_BASE_URL is explicitly set to empty string, use relative path
// This allows the frontend to call the same host it's served from
if (import.meta.env.VITE_API_BASE_URL === "") {
return "";
}
return DEFAULT_API_BASE_URL;
}
// Helper to sleep for a given duration
function sleep(ms: number): Promise<void> {
return new Promise((resolve) => setTimeout(resolve, ms));
}
class ApiClient {
@@ -272,6 +296,8 @@ class ApiClient {
await this.request(`/v1/conversations/${conversationId}`, {
method: "DELETE",
});
// Clear streaming state when conversation is deleted
clearStreamingState(conversationId);
return true;
} catch {
return false;
@@ -297,10 +323,230 @@ class ApiClient {
// OpenAI-compatible streaming methods using /v1/responses endpoint
// Private helper method that handles the actual streaming with retry logic
private async *streamOpenAIResponse(
openAIRequest: AgentFrameworkRequest,
conversationId?: string,
resumeResponseId?: string
): AsyncGenerator<ExtendedResponseStreamEvent, void, unknown> {
let lastSequenceNumber = -1;
let retryCount = 0;
let hasYieldedAnyEvent = false;
let currentResponseId: string | undefined = resumeResponseId;
let lastMessageId: string | undefined = undefined;
// Try to resume from stored state if conversation ID is provided
if (conversationId) {
const storedState = loadStreamingState(conversationId);
if (storedState) {
// Use stored response ID if no explicit one provided
if (!resumeResponseId) {
currentResponseId = storedState.responseId;
}
lastSequenceNumber = storedState.lastSequenceNumber;
lastMessageId = storedState.lastMessageId;
// Replay stored events only if we're not explicitly resuming
// (explicit resume means the caller already has the events)
if (!resumeResponseId) {
for (const event of storedState.events) {
hasYieldedAnyEvent = true;
yield event;
}
} else {
// Mark that we've already seen events up to this sequence number
hasYieldedAnyEvent = storedState.events.length > 0;
}
}
}
while (retryCount <= MAX_RETRY_ATTEMPTS) {
try {
// If we have a response_id from a previous attempt, use GET endpoint to resume
// Otherwise, use POST to create a new response
let response: Response;
if (currentResponseId) {
const params = new URLSearchParams();
params.set("stream", "true");
if (lastSequenceNumber >= 0) {
params.set("starting_after", lastSequenceNumber.toString());
}
const url = `${this.baseUrl}/v1/responses/${currentResponseId}?${params.toString()}`;
response = await fetch(url, {
method: "GET",
headers: {
Accept: "text/event-stream",
},
});
} else {
const url = `${this.baseUrl}/v1/responses`;
response = await fetch(url, {
method: "POST",
headers: {
"Content-Type": "application/json",
Accept: "text/event-stream",
},
body: JSON.stringify(openAIRequest),
});
}
if (!response.ok) {
// Try to extract detailed error message from response body
let errorMessage = `Request failed with status ${response.status}`;
try {
const errorBody = await response.json();
if (errorBody.error && errorBody.error.message) {
errorMessage = errorBody.error.message;
} else if (errorBody.detail) {
errorMessage = errorBody.detail;
}
} catch {
// Fallback to generic message if parsing fails
}
throw new Error(errorMessage);
}
const reader = response.body?.getReader();
if (!reader) {
throw new Error("Response body is not readable");
}
const decoder = new TextDecoder();
let buffer = "";
try {
while (true) {
const { done, value } = await reader.read();
if (done) {
// Stream completed successfully
if (conversationId) {
markStreamingCompleted(conversationId);
}
return;
}
buffer += decoder.decode(value, { stream: true });
// Parse SSE events
const lines = buffer.split("\n");
buffer = lines.pop() || ""; // Keep incomplete line in buffer
for (const line of lines) {
if (line.startsWith("data: ")) {
const dataStr = line.slice(6);
// Handle [DONE] signal
if (dataStr === "[DONE]") {
if (conversationId) {
markStreamingCompleted(conversationId);
}
return;
}
try {
const openAIEvent: ExtendedResponseStreamEvent =
JSON.parse(dataStr);
// Capture response_id if present in the event for use in retries
if ("response" in openAIEvent && openAIEvent.response && typeof openAIEvent.response === "object" && "id" in openAIEvent.response) {
const newResponseId = openAIEvent.response.id as string;
if (!currentResponseId || currentResponseId !== newResponseId) {
currentResponseId = newResponseId;
}
} else if ("id" in openAIEvent && typeof openAIEvent.id === "string" && openAIEvent.id.startsWith("resp_")) {
const newResponseId = openAIEvent.id;
if (!currentResponseId || currentResponseId !== newResponseId) {
currentResponseId = newResponseId;
}
}
// Track last message ID if present (for user/assistant messages)
if ("item_id" in openAIEvent && openAIEvent.item_id) {
lastMessageId = openAIEvent.item_id;
}
// Check for sequence number restart (server restarted response)
const eventSeq = "sequence_number" in openAIEvent ? openAIEvent.sequence_number : undefined;
if (eventSeq !== undefined) {
// If we've received events before and sequence restarted from 0/1
if (hasYieldedAnyEvent && eventSeq <= 1 && lastSequenceNumber > 1) {
// Server restarted the response - clear old state and start fresh
if (conversationId) {
clearStreamingState(conversationId);
}
yield {
type: "error",
message: "Connection lost - previous response failed. Starting new response.",
} as ExtendedResponseStreamEvent;
lastSequenceNumber = eventSeq;
hasYieldedAnyEvent = true;
// Save new event to storage
if (conversationId && currentResponseId) {
updateStreamingState(conversationId, openAIEvent, currentResponseId, lastMessageId);
}
yield openAIEvent;
}
// Skip events we've already seen (resume from last position)
else if (eventSeq <= lastSequenceNumber) {
continue; // Skip duplicate event
} else {
lastSequenceNumber = eventSeq;
hasYieldedAnyEvent = true;
// Save event to storage before yielding
if (conversationId && currentResponseId) {
updateStreamingState(conversationId, openAIEvent, currentResponseId, lastMessageId);
}
yield openAIEvent;
}
} else {
// No sequence number - just yield the event
hasYieldedAnyEvent = true;
// Still save to storage if we have conversation context
if (conversationId && currentResponseId) {
updateStreamingState(conversationId, openAIEvent, currentResponseId, lastMessageId);
}
yield openAIEvent;
}
} catch (e) {
console.error("Failed to parse OpenAI SSE event:", e);
}
}
}
}
} finally {
reader.releaseLock();
}
} catch (error) {
// Network error occurred - prepare to retry
retryCount++;
if (retryCount > MAX_RETRY_ATTEMPTS) {
// Max retries exceeded - give up
throw new Error(
`Connection failed after ${MAX_RETRY_ATTEMPTS} retry attempts: ${error instanceof Error ? error.message : String(error)}`
);
}
// Wait before retrying
await sleep(RETRY_INTERVAL_MS);
// Loop will retry with GET if we have response_id, otherwise POST
}
}
}
// Stream agent execution using OpenAI format with simplified routing
async *streamAgentExecutionOpenAI(
agentId: string,
request: RunAgentRequest
request: RunAgentRequest,
resumeResponseId?: string
): AsyncGenerator<ExtendedResponseStreamEvent, void, unknown> {
const openAIRequest: AgentFrameworkRequest = {
model: agentId, // Model IS the entity_id (simplified routing!)
@@ -309,87 +555,20 @@ class ApiClient {
conversation: request.conversation_id, // OpenAI standard conversation param
};
return yield* this.streamAgentExecutionOpenAIDirect(agentId, openAIRequest);
return yield* this.streamAgentExecutionOpenAIDirect(agentId, openAIRequest, request.conversation_id, resumeResponseId);
}
// Stream agent execution using direct OpenAI format
async *streamAgentExecutionOpenAIDirect(
_agentId: string,
openAIRequest: AgentFrameworkRequest
openAIRequest: AgentFrameworkRequest,
conversationId?: string,
resumeResponseId?: string
): AsyncGenerator<ExtendedResponseStreamEvent, void, unknown> {
const response = await fetch(`${this.baseUrl}/v1/responses`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Accept: "text/event-stream",
},
body: JSON.stringify(openAIRequest),
});
if (!response.ok) {
// Try to extract detailed error message from response body
let errorMessage = `Request failed with status ${response.status}`;
try {
const errorBody = await response.json();
if (errorBody.error && errorBody.error.message) {
errorMessage = errorBody.error.message;
} else if (errorBody.detail) {
errorMessage = errorBody.detail;
}
} catch {
// Fallback to generic message if parsing fails
}
throw new Error(errorMessage);
}
const reader = response.body?.getReader();
if (!reader) {
throw new Error("Response body is not readable");
}
const decoder = new TextDecoder();
let buffer = "";
try {
while (true) {
const { done, value } = await reader.read();
if (done) {
break;
}
buffer += decoder.decode(value, { stream: true });
// Parse SSE events
const lines = buffer.split("\n");
buffer = lines.pop() || ""; // Keep incomplete line in buffer
for (const line of lines) {
if (line.startsWith("data: ")) {
const dataStr = line.slice(6);
// Handle [DONE] signal
if (dataStr === "[DONE]") {
return;
}
try {
const openAIEvent: ExtendedResponseStreamEvent =
JSON.parse(dataStr);
yield openAIEvent; // Direct pass-through - no conversion!
} catch (e) {
console.error("Failed to parse OpenAI SSE event:", e);
}
}
}
}
} finally {
reader.releaseLock();
}
yield* this.streamOpenAIResponse(openAIRequest, conversationId, resumeResponseId);
}
// Stream workflow execution using OpenAI format - direct event pass-through
// Stream workflow execution using OpenAI format
async *streamWorkflowExecutionOpenAI(
workflowId: string,
request: RunWorkflowRequest
@@ -402,75 +581,7 @@ class ApiClient {
conversation: request.conversation_id, // Include conversation if present
};
const response = await fetch(`${this.baseUrl}/v1/responses`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Accept: "text/event-stream",
},
body: JSON.stringify(openAIRequest),
});
if (!response.ok) {
// Try to extract detailed error message from response body
let errorMessage = `Request failed with status ${response.status}`;
try {
const errorBody = await response.json();
if (errorBody.error && errorBody.error.message) {
errorMessage = errorBody.error.message;
} else if (errorBody.detail) {
errorMessage = errorBody.detail;
}
} catch {
// Fallback to generic message if parsing fails
}
throw new Error(errorMessage);
}
const reader = response.body?.getReader();
if (!reader) {
throw new Error("Response body is not readable");
}
const decoder = new TextDecoder();
let buffer = "";
try {
while (true) {
const { done, value } = await reader.read();
if (done) {
break;
}
buffer += decoder.decode(value, { stream: true });
// Parse SSE events
const lines = buffer.split("\n");
buffer = lines.pop() || ""; // Keep incomplete line in buffer
for (const line of lines) {
if (line.startsWith("data: ")) {
const dataStr = line.slice(6);
// Handle [DONE] signal
if (dataStr === "[DONE]") {
return;
}
try {
const openAIEvent: ExtendedResponseStreamEvent =
JSON.parse(dataStr);
yield openAIEvent; // Direct pass-through - no conversion!
} catch (e) {
console.error("Failed to parse OpenAI SSE event:", e);
}
}
}
}
} finally {
reader.releaseLock();
}
yield* this.streamOpenAIResponse(openAIRequest, request.conversation_id);
}
// REMOVED: Legacy streaming methods - use streamAgentExecutionOpenAI and streamWorkflowExecutionOpenAI instead
@@ -503,8 +614,16 @@ class ApiClient {
body: JSON.stringify(request),
});
}
// Clear streaming state for a conversation (e.g., when starting a new message)
clearStreamingState(conversationId: string): void {
clearStreamingState(conversationId);
}
}
// Export singleton instance
export const apiClient = new ApiClient();
export { ApiClient };
// Export streaming state init function
export { initStreamingState } from "./streaming-state";
python/packages/devui/frontend/src/services/streaming-state.ts
+199
View File
@@ -0,0 +1,199 @@
/**
* Streaming State Persistence
*
* Manages browser storage of streaming response state to enable:
* - Resume interrupted streams after page refresh
* - Replay cached events before fetching new ones
* - Graceful recovery from network disconnections
*/
import type { ExtendedResponseStreamEvent } from "@/types/openai";
export interface StreamingState {
conversationId: string;
responseId: string;
lastMessageId?: string;
lastSequenceNumber: number;
events: ExtendedResponseStreamEvent[];
timestamp: number; // When this state was last updated
completed: boolean; // Whether the stream completed successfully
accumulatedText?: string; // Accumulated text content for quick restoration
}
const STORAGE_KEY_PREFIX = "devui_streaming_state_";
const STATE_EXPIRY_MS = 24 * 60 * 60 * 1000; // 24 hours
/**
* Storage key for a specific conversation
*/
function getStorageKey(conversationId: string): string {
return `${STORAGE_KEY_PREFIX}${conversationId}`;
}
/**
* Extract accumulated text from events (for quick restoration)
*/
function extractAccumulatedText(events: ExtendedResponseStreamEvent[]): string {
let text = "";
for (const event of events) {
if (event.type === "response.output_text.delta" && "delta" in event) {
text += event.delta;
}
}
return text;
}
/**
* Save streaming state to browser storage
*/
export function saveStreamingState(state: StreamingState): void {
try {
const key = getStorageKey(state.conversationId);
const data = JSON.stringify(state);
localStorage.setItem(key, data);
} catch (error) {
console.error("Failed to save streaming state:", error);
// If storage is full, try to clear old states
try {
clearExpiredStreamingStates();
// Try again
const key = getStorageKey(state.conversationId);
const data = JSON.stringify(state);
localStorage.setItem(key, data);
} catch {
console.error("Failed to save streaming state even after cleanup");
}
}
}
/**
* Load streaming state from browser storage
*/
export function loadStreamingState(conversationId: string): StreamingState | null {
try {
const key = getStorageKey(conversationId);
const data = localStorage.getItem(key);
if (!data) {
return null;
}
const state: StreamingState = JSON.parse(data);
// Check if state has expired
const age = Date.now() - state.timestamp;
if (age > STATE_EXPIRY_MS) {
clearStreamingState(conversationId);
return null;
}
// If stream was completed, no need to resume
if (state.completed) {
return null;
}
return state;
} catch (error) {
console.error("Failed to load streaming state:", error);
return null;
}
}
/**
* Update streaming state with a new event
*/
export function updateStreamingState(
conversationId: string,
event: ExtendedResponseStreamEvent,
responseId: string,
lastMessageId?: string
): void {
try {
const existing = loadStreamingState(conversationId);
const sequenceNumber = "sequence_number" in event ? event.sequence_number : undefined;
const newEvents = existing ? [...existing.events, event] : [event];
const state: StreamingState = {
conversationId,
responseId,
lastMessageId,
lastSequenceNumber: sequenceNumber ?? (existing?.lastSequenceNumber ?? -1),
events: newEvents,
timestamp: Date.now(),
completed: event.type === "response.completed" || event.type === "response.failed",
accumulatedText: extractAccumulatedText(newEvents),
};
saveStreamingState(state);
} catch (error) {
console.error("Failed to update streaming state:", error);
}
}
/**
* Mark streaming state as completed
*/
export function markStreamingCompleted(conversationId: string): void {
try {
const existing = loadStreamingState(conversationId);
if (existing) {
existing.completed = true;
existing.timestamp = Date.now();
saveStreamingState(existing);
}
} catch (error) {
console.error("Failed to mark streaming as completed:", error);
}
}
/**
* Clear streaming state for a conversation
*/
export function clearStreamingState(conversationId: string): void {
try {
const key = getStorageKey(conversationId);
localStorage.removeItem(key);
} catch (error) {
console.error("Failed to clear streaming state:", error);
}
}
/**
* Clear all expired streaming states
*/
export function clearExpiredStreamingStates(): void {
try {
const keys = Object.keys(localStorage);
const now = Date.now();
for (const key of keys) {
if (key.startsWith(STORAGE_KEY_PREFIX)) {
try {
const data = localStorage.getItem(key);
if (data) {
const state: StreamingState = JSON.parse(data);
const age = now - state.timestamp;
if (age > STATE_EXPIRY_MS || state.completed) {
localStorage.removeItem(key);
}
}
} catch {
// Invalid state, remove it
localStorage.removeItem(key);
}
}
}
} catch (error) {
console.error("Failed to clear expired streaming states:", error);
}
}
/**
* Initialize streaming state management (call on app startup)
*/
export function initStreamingState(): void {
// Clear expired states on startup
clearExpiredStreamingStates();
}
python/packages/devui/frontend/src/types/openai.ts
+14
View File
@@ -347,6 +347,18 @@ export interface MessageTextContent {
text: string;
}
export interface MessageInputTextContent {
type: "input_text";
text: string;
}
export interface MessageOutputTextContent {
type: "output_text";
text: string;
annotations?: any[];
logprobs?: any[];
}
export interface MessageInputImage {
type: "input_image";
image_url: string;
@@ -376,6 +388,8 @@ export interface MessageFunctionApprovalResponseContent {
export type MessageContent =
| MessageTextContent
| MessageInputTextContent
| MessageOutputTextContent
| MessageInputImage
| MessageInputFile
| MessageFunctionApprovalResponseContent;
python/packages/devui/frontend/vite.config.ts
+9
View File
@@ -5,6 +5,7 @@ import path from "path";
// https://vite.dev/config/
export default defineConfig({
base: "",
plugins: [react(), tailwindcss()],
resolve: {
alias: {
@@ -12,12 +13,20 @@ export default defineConfig({
},
},
build: {
commonjsOptions: {
// Enable deterministic builds, as per https://github.com/vitejs/vite/issues/13672#issuecomment-1784110536
strictRequires: true,
},
outDir: "../agent_framework_devui/ui",
emptyOutDir: true,
rollupOptions: {
output: {
manualChunks: undefined,
inlineDynamicImports: true,
// Use static filenames instead of content hashes
entryFileNames: "assets/index.js",
chunkFileNames: "assets/[name].js",
assetFileNames: "assets/[name].[ext]",
},
},
},
python/packages/devui/frontend/yarn.lock
+38 -403
View File
@@ -24,7 +24,7 @@
resolved "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.28.0.tgz"
integrity sha512-60X7qkglvrap8mn1lh2ebxXdZYtUcpd7gsmy9kLaBJ4i/WdY8PqTSdxyA8qraikqKQK5C1KRBKXqznrVapyNaw==
"@babel/core@^7.28.3":
"@babel/core@^7.0.0", "@babel/core@^7.0.0-0", "@babel/core@^7.28.3":
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@@ -168,156 +168,9 @@
"@babel/helper-string-parser" "^7.27.1"
"@babel/helper-validator-identifier" "^7.27.1"
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dependencies:
"@emnapi/wasi-threads" "1.1.0"
tslib "^2.4.0"
"@emnapi/runtime@^1.4.3", "@emnapi/runtime@^1.4.5":
version "1.5.0"
resolved "https://registry.yarnpkg.com/@emnapi/runtime/-/runtime-1.5.0.tgz#9aebfcb9b17195dce3ab53c86787a6b7d058db73"
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dependencies:
tslib "^2.4.0"
"@emnapi/wasi-threads@1.1.0", "@emnapi/wasi-threads@^1.0.4":
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resolved "https://registry.yarnpkg.com/@emnapi/wasi-threads/-/wasi-threads-1.1.0.tgz#60b2102fddc9ccb78607e4a3cf8403ea69be41bf"
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minimatch "^3.1.2"
strip-json-comments "^3.1.1"
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run-parallel "^1.1.9"
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aria-hidden "^1.2.4"
react-remove-scroll "^2.6.3"
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tailwindcss "4.1.12"
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tslib "^2.8.0"
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tailwindcss "4.1.12"
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resolved "https://registry.npmjs.org/@types/babel__core/-/babel__core-7.20.5.tgz"
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ts-api-utils "^2.1.0"
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debug "^4.3.4"
ts-api-utils "^2.1.0"
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resolved "https://registry.yarnpkg.com/@xyflow/react/-/react-12.8.4.tgz#db0eabd9e356c25f5ebf427413a8c5dd46113394"
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dependencies:
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acorn@^8.15.0:
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resolved "https://registry.npmjs.org/acorn/-/acorn-8.15.0.tgz"
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dependencies:
fill-range "^7.1.1"
browserslist@^4.24.0:
browserslist@^4.24.0, "browserslist@>= 4.21.0":
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resolved "https://registry.npmjs.org/browserslist/-/browserslist-4.25.3.tgz"
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"d3-drag@2 - 3", d3-drag@^3.0.0:
d3-drag@^3.0.0, "d3-drag@2 - 3":
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resolved "https://registry.npmjs.org/d3-drag/-/d3-drag-3.0.0.tgz"
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d3-interpolate@^3.0.1, "d3-interpolate@1 - 3":
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dependencies:
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"d3-selection@2 - 3", d3-selection@3, d3-selection@^3.0.0:
d3-selection@^3.0.0, "d3-selection@2 - 3", d3-selection@3:
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prelude-ls "^1.2.1"
type-check "~0.4.0"
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lightningcss-darwin-x64@1.30.1:
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resolved "https://registry.yarnpkg.com/lightningcss-darwin-x64/-/lightningcss-darwin-x64-1.30.1.tgz#e81105d3fd6330860c15fe860f64d39cff5fbd22"
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lightningcss-freebsd-x64@1.30.1:
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resolved "https://registry.yarnpkg.com/lightningcss-freebsd-x64/-/lightningcss-freebsd-x64-1.30.1.tgz#a0e732031083ff9d625c5db021d09eb085af8be4"
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lightningcss-linux-arm-gnueabihf@1.30.1:
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resolved "https://registry.yarnpkg.com/lightningcss-linux-arm-gnueabihf/-/lightningcss-linux-arm-gnueabihf-1.30.1.tgz#1f5ecca6095528ddb649f9304ba2560c72474908"
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lightningcss-linux-arm64-gnu@1.30.1:
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lightningcss-linux-arm64-musl@1.30.1:
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lightningcss-linux-x64-gnu@1.30.1:
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lightningcss-linux-x64-musl@1.30.1:
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lightningcss-win32-arm64-msvc@1.30.1:
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resolved "https://registry.yarnpkg.com/lightningcss-win32-arm64-msvc/-/lightningcss-win32-arm64-msvc-1.30.1.tgz#7d8110a19d7c2d22bfdf2f2bb8be68e7d1b69039"
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lightningcss-win32-x64-msvc@1.30.1:
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lightningcss@1.30.1:
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resolved "https://registry.npmjs.org/lightningcss/-/lightningcss-1.30.1.tgz"
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@@ -2063,7 +1698,7 @@ natural-compare@^1.4.0:
next-themes@^0.4.6:
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resolved "https://registry.yarnpkg.com/next-themes/-/next-themes-0.4.6.tgz#8d7e92d03b8fea6582892a50a928c9b23502e8b6"
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resolved "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz"
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react-dom@^19.1.1:
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@@ -2192,7 +1827,7 @@ react-style-singleton@^2.2.2, react-style-singleton@^2.2.3:
get-nonce "^1.0.0"
tslib "^2.0.0"
react@^19.1.1:
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version "19.1.1"
resolved "https://registry.npmjs.org/react/-/react-19.1.1.tgz"
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@@ -2292,7 +1927,7 @@ tailwind-merge@^3.3.1:
resolved "https://registry.npmjs.org/tailwind-merge/-/tailwind-merge-3.3.1.tgz"
integrity sha512-gBXpgUm/3rp1lMZZrM/w7D8GKqshif0zAymAhbCyIt8KMe+0v9DQ7cdYLR4FHH/cKpdTXb+A/tKKU3eolfsI+g==
tailwindcss@4.1.12, tailwindcss@^4.1.12:
tailwindcss@^4.1.12, tailwindcss@4.1.12:
version "4.1.12"
resolved "https://registry.npmjs.org/tailwindcss/-/tailwindcss-4.1.12.tgz"
integrity sha512-DzFtxOi+7NsFf7DBtI3BJsynR+0Yp6etH+nRPTbpWnS2pZBaSksv/JGctNwSWzbFjp0vxSqknaUylseZqMDGrA==
@@ -2316,7 +1951,7 @@ tar@^7.4.3:
tinyglobby@^0.2.15:
version "0.2.15"
resolved "https://registry.yarnpkg.com/tinyglobby/-/tinyglobby-0.2.15.tgz#e228dd1e638cea993d2fdb4fcd2d4602a79951c2"
resolved "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.15.tgz"
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dependencies:
fdir "^6.5.0"
@@ -2334,7 +1969,7 @@ ts-api-utils@^2.1.0:
resolved "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-2.1.0.tgz"
integrity sha512-CUgTZL1irw8u29bzrOD/nH85jqyc74D6SshFgujOIA7osm2Rz7dYH77agkx7H4FBNxDq7Cjf+IjaX/8zwFW+ZQ==
tslib@^2.0.0, tslib@^2.1.0, tslib@^2.4.0, tslib@^2.8.0:
tslib@^2.0.0, tslib@^2.1.0:
version "2.8.1"
resolved "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz"
integrity sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==
@@ -2361,7 +1996,7 @@ typescript-eslint@^8.39.1:
"@typescript-eslint/typescript-estree" "8.40.0"
"@typescript-eslint/utils" "8.40.0"
typescript@~5.8.3:
typescript@>=4.8.4, "typescript@>=4.8.4 <6.0.0", typescript@~5.8.3:
version "5.8.3"
resolved "https://registry.npmjs.org/typescript/-/typescript-5.8.3.tgz"
integrity sha512-p1diW6TqL9L07nNxvRMM7hMMw4c5XOo/1ibL4aAIGmSAt9slTE1Xgw5KWuof2uTOvCg9BY7ZRi+GaF+7sfgPeQ==
@@ -2401,15 +2036,15 @@ use-sidecar@^1.1.3:
detect-node-es "^1.1.0"
tslib "^2.0.0"
use-sync-external-store@^1.2.2:
use-sync-external-store@^1.2.2, use-sync-external-store@>=1.2.0:
version "1.5.0"
resolved "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.5.0.tgz"
integrity sha512-Rb46I4cGGVBmjamjphe8L/UnvJD+uPPtTkNvX5mZgqdbavhI4EbgIWJiIHXJ8bc/i9EQGPRh4DwEURJ552Do0A==
vite@^7.1.11:
version "7.1.11"
resolved "https://registry.yarnpkg.com/vite/-/vite-7.1.11.tgz#4d006746112fee056df64985191e846ebfb6007e"
integrity sha512-uzcxnSDVjAopEUjljkWh8EIrg6tlzrjFUfMcR1EVsRDGwf/ccef0qQPRyOrROwhrTDaApueq+ja+KLPlzR/zdg==
"vite@^4.2.0 || ^5.0.0 || ^6.0.0 || ^7.0.0", "vite@^5.2.0 || ^6 || ^7", vite@^7.1.11:
version "7.1.12"
resolved "https://registry.npmjs.org/vite/-/vite-7.1.12.tgz"
integrity sha512-ZWyE8YXEXqJrrSLvYgrRP7p62OziLW7xI5HYGWFzOvupfAlrLvURSzv/FyGyy0eidogEM3ujU+kUG1zuHgb6Ug==
dependencies:
esbuild "^0.25.0"
fdir "^6.5.0"
@@ -2456,5 +2091,5 @@ zustand@^4.4.0:
zustand@^5.0.8:
version "5.0.8"
resolved "https://registry.yarnpkg.com/zustand/-/zustand-5.0.8.tgz#b998a0c088c7027a20f2709141a91cb07ac57f8a"
resolved "https://registry.npmjs.org/zustand/-/zustand-5.0.8.tgz"
integrity sha512-gyPKpIaxY9XcO2vSMrLbiER7QMAMGOQZVRdJ6Zi782jkbzZygq5GI9nG8g+sMgitRtndwaBSl7uiqC49o1SSiw==